Adaptive Optical Transmission for Dynamic Optical Networks

被引:0
|
作者
Teipen, Brian [1 ]
Grobe, Klaus [2 ]
Eiselt, Michael [1 ]
Elbers, Joerg-Peter [2 ]
机构
[1] ADVA AG Opt Networking, Maerzenquelle 1-3, D-98617 Meiningen, Germany
[2] ADVA AG Opt Networking, Martinsried, Germany
来源
2010 12TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON) | 2011年
关键词
adaptive transceiver; dynamic network; transmission constraints;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Efforts towards commercializing higher-speed optical transmission have demonstrated the need for advanced modulation formats, several of which require similar transceiver hardware architecture. Adaptive transceivers can be built which have different operational configurations controlled by software. These software-defined transceiver configurations support a set of specific modulation / demodulation formats, with respective data rates and tolerances to system impairments, as well as sets of electronic digital signal processing schemes, chosen to best function in a given network environment. In this paper, we discuss possibilities and advantages of reconfigurable and dynamically-adaptive transceivers, and their potential applications in future optical networks.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] A framework for identifying functional modules in dynamic networks
    Tang, Xiwei
    Li, Xueyong
    Hu, Sai
    Zhao, Bihai
    INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2018, 21 (01) : 1 - 17
  • [42] The cost of global broadcast in dynamic radio networks
    Ahmadi, Mohamad
    Ghodselahi, Abdolhamid
    Kuhn, Fabian
    Molla, Anisur Rahaman
    THEORETICAL COMPUTER SCIENCE, 2020, 806 (806) : 363 - 387
  • [43] Link Prediction and Unlink Prediction on Dynamic Networks
    Muro, Christina
    Li, Boyu
    He, Kun
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 10 (02) : 590 - 601
  • [44] DISTRIBUTED DATABASE SYSTEMS IN THE DYNAMIC NETWORKS ENVIRONMENT
    Janech, Jan
    INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY, 2010, 2 (01): : 43 - 52
  • [45] Generative Evolutionary Anomaly Detection in Dynamic Networks
    Jiao, Pengfei
    Li, Tianpeng
    Xie, Yingjie
    Wang, Yinghui
    Wang, Wenjun
    He, Dongxiao
    Wu, Huaming
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (12) : 12234 - 12248
  • [46] Inferring Dynamic Diffusion Networks in Online Media
    Tahani, Maryam
    Hemmatyar, Ali M. A.
    Rabiee, Hamid R.
    Ramezani, Maryam
    ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2016, 10 (04)
  • [47] A supervised link prediction method for dynamic networks
    Chen, Ke-Jia
    Chen, Yang
    Li, Yun
    Han, Jingyu
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 31 (01) : 291 - 299
  • [48] A new algorithm for the influence maximization problem in dynamic networks or traffic sensor networks
    Xue-Guang Wang
    Multimedia Tools and Applications, 2016, 75 : 4833 - 4844
  • [49] A new algorithm for the influence maximization problem in dynamic networks or traffic sensor networks
    Wang, Xue-Guang
    MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 75 (08) : 4833 - 4844
  • [50] Dynamic Bond Percolation-Based Reliable Topology Evolution Model for Dynamic Networks
    Han, Zhenzhen
    Zhao, Guofeng
    Hu, Yu
    Xu, Chuan
    Cheng, Kefei
    Yu, Shui
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2024, 21 (04): : 4197 - 4212